Artificial Intelligence

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This document describes the principles and framework for environmental impact measurement of artificial intelligence systems and services and provides guidelines for impact reduction throughout its lifecycle. It includes: - A framework for defining the environmental impact of artificial intelligence - A harmonized calculation method for assessing the environmental impact of artificial intelligence systems and services - Reporting guidelines - Best practices for reducing the environmental impact of AI systems and services throughout their lifecycle. This document is aimed at organizations developing AI systems and services and organizations using AI systems and services, but also at all actors in the value chain who are required to use AI systems and services.

This document specifies the evaluation of computer vision systems, in the sense of measuring the quality of a system’s results to assess its functional suitability. It provides a definition of evaluation methods for those systems, together with guidance on how to select, implement and interpret those evaluation methods. This document covers quantitative metrics as well as other evaluation methods. It includes requirements on the implementation of the described metrics, and further requirements on the technical resources involved in the evaluation process.

This document provides methods and mechanisms to assess the reliability of an AI system. It describes the metrics of reliability and the procedure for reliability assessment from a statistical perspective